Design of digital video watermarking scheme using matlab simulink

IJRET: International Journal of Research in Engineering and Technology ISSN: 2319-1163
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Volume: 02 Issue: 05 | May-2013, Available @ http://www.ijret.org 826
DESIGN OF DIGITAL VIDEO WATERMARKING SCHEME USING
MATLAB SIMULINK
Prachi V. Powar1
, S.S.Agrawal2
1
PG Student,2
Asst.Professor, E & TC Department, SKNCON, Pune, India
prachipowar1@email.com, sujata.agarwal@gmail.com
Abstract
Due to increase in growth of internet users of networks are increasing rapidly. Owners of the digital products are concerned about
illegal copying of their products. Security and copyright protection are becoming important issues in multimedia applications and
services. Digital watermarking is a technology used for copyright protection of digital media. Here ownership information data called
watermark is embedded into the digital media without affecting its perceptual quality. In case of any dispute, the watermark data can
be detected or extracted from the media and use as a proof of ownership. Digital video watermarking scheme based on Discrete
Wavelet Transform is addressed in this paper. Design of this scheme using Matlab Simulink is proposed. Embedded watermark is
robust against various attacks that can be carried out on the watermarked video.
Index Terms:Digital video, Discrete Wavelet Transform, Binary watermark.
----------------------------------------------------------------------***------------------------------------------------------------------------
1. INTRODUCTION
The use of digital multimedia content is increased large
amount of data is transfer and distributed easily. This
development will benefit multimedia product owners as sales
will increase. Also it will pose challenge to their ownership as
most of multimedia products are distributed in insecure format.
These products can be transmitted and redistributed easily
without any authentication as various tools are available at no
cost. So there is need for copyright protection of multimedia
data. Video become an important tool for the entertainment
and educational industry[2].Digital video watermarking is new
technology used for copyright protection of digital media.[1]It
inserts authentication information in multimedia data which
can be used as proof of ownership.
The watermarking technique is used for data hiding. Video
watermarking algorithms normally prefers robustness. Most of
the proposed video watermarking schemes are based on the
techniques of image watermarking. But video watermarking
introduces some issues not present in image watermarking. [2]
Watermarking techniques can be classified into spatial or
frequency domain by place of application. Spatial domain
watermarking is performed by modifying values of pixel color
samples of a video frame whereas watermarks of frequency
domain techniques are applied to coefficients obtained as the
result of a frequency transform of either a whole frame or
single block-shaped regions of a frame[6].
Most commonly used transforms are
1.Discrete Fourier Transform (DFT),
2.Discrete Cosine Transform (DCT),
3. Discrete Wavelet Transform (DWT).
Here we propose an implementation of robust video
watermarking scheme using Discrete Wavelet Transform
Matlab Simulink is used for software design. It is a simulation
tool for dynamic system modelling, simulation and
comprehensive analysis. It can call MATLAB dominant
function library it save a lot of code writing work, and the user
can immediately see the results of simulation. [7].
1.1 Video Watermarking
Maximum occurrences of copyright violation and distribution
happen for video media content. So Video Watermarking is
one of the most accepted techniques among the various
Watermarking techniques currently in use.
1.2 Requirements for video water marking
Requirements for video Watermarking are as follows:
1. Video data is subject to increased attacks than any
othermedia.
2. Video content is sensitive to distortions and
Watermarking may degrade the quality.
3. Video compression algorithms are computationally
rigorous.
4. Video require large bandwidth that is why it is
mostlycarried in compressed domain. So
Watermarkingalgorithmis also adaptable for
compress area processing.

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2.SCHEME OF IMPLEMENTATION
2.1 Discrete Wavelet Transform (DWT)
The Discrete Wavelet Transform (DWT) is used in a wide
variety of signal processing applications. 2-D discrete wavelet
transform (DWT) decomposes an image or a video frame into
sub-images, 3 details and 1 approximation. The 2-D DWT is
an application of the 1-D DWT in both the horizontal and the
vertical directions. DWT separates the frequency band of an
image into a lower resolution approximation sub-band (LL) as
well as horizontal (HL), vertical (LH) and diagonal (HH)
detail components.
Watermark is embedded in low frequencies obtained by
Wavelet decomposition which increases the robustness.So that
resultant watermark video become susceptible to different
attacks that have low pass characteristics like filtering, lossy
compression and geometric distortions.
Fig-1: DWT sub-bands in (a) level 1, (b) level 2.
2.2 Watermark embedding process
The Watermark embedding process consists of the following
steps:
1. Video is divided into frames RGB frames are
converted to YUV frames.
2. 2-DWT is applied on it. .
3. RGB watermark image is converted into a vector
P= {p1, p2… p32x32} of zeros and ones.
4. This vector P is again divided into n parts. Then each
part is embedded into each of the corresponding LL
and HH sub bands. The watermark pixels are
embedded with strength x into the maximum
coefficient Mi of each PC block Yi. The embedding
equation is:
Mi=Mi+ xW (1)
Where, x is the watermark embedding strength.
5. Inverse DWT is applied to obtain the watermarked
luminance component of the frame. Finally
watermarked frame is reconstructed and watermarked
video is obtained.
Fig-2: Watermark embedding process.
2.3. Watermark Extraction Process
The steps used for watermark extraction is the same as the
steps in the embedding but in the reverse direction. As follows
1. Watermarked video is converted into frames. Each
RGB frame is converted to YUV representation.
2. DWT is applied. LL and HH sub-bands divided into
nxn non-overlapping blocks.
3. Following equation is used to extract watermark
𝑊 =
𝑀𝑖
1
−𝑀 𝑖
𝑥
(2)
4. The extracted watermark is compared with the
original watermark as follows:
𝑁𝐶 =
𝑊 𝑖,𝑗 .𝑊′(𝑖,𝑗 )𝑗𝑖
𝑊(𝑖,𝑗 )2
𝑗𝑖
(3)
Where, NC is the normalized correlation. NC value is
1 when the watermark and the extracted watermark
are identical and zero if the two are different from
each other.
Original
Video
Convert RGB
to YUV frames
DWT
Watermark
Embedding
Process
Inverse DWT
Watermarked
Video
Watermark
Image

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Fig-3: Watermark extraction process.
3. SIMULINK BASED IMPLEMENTATION
Fig-4: Watermark embedding model in simulink
Simulink is a block diagram environment and Model-Based
Design. It supports system-level design, simulation, automatic
code creation, and verification of embedded systems. It
provides a graphical editor, customizable block libraries for
modelling and simulating dynamic systems. It enables to
integrate MATLAB algorithms into models and export
simulation results to MATLAB for further analysis. Here
Matlab-Embedded function block is used to write user define
functions such as Watermark Embedding function and
extraction function. Resultant simulink models are as shown in
fig.
Fig-5: Watermark extraction model in simulink
4. RESULTS AND DISCUSSION
Above algorithm is applied to a sample video sequence
Vipmen.avi using binary watermark logo. The original
sampled frame and its corresponding watermarked frame are
shown in Fig. Watermarked frame appears visually identical to
the original.
The performance of algorithm can be measured in terms of its
imperceptibility and robustness against the possible attacks.
Watermarked frame is subjected to a variety of attacks such as
Gamma correction, Contrast adjustment,Histogram
equalization etc.In case of geometric attacks scheme is tested
againstFrame resizing, Frame rotation, Frame cropping.To
evaluate the performance of any watermarking system, Peak
Signal to Noise Ratio (PSNR) is used as a general measure of
the visual quality of the watermarking system.
PSNR: The Peak-Signal-To-Noise Ratio (PSNR) is used to
measure deviation of the watermarked and attacked frames
from the original video frames and is defined as:
PSNR = 10 log10 2552
/MSE (4)
Where MSE (mean squared error ) between the original and
distorted frames (size m x n) is defined as:
MSE = (1/mn) [I i, j − I′
(i, j)]n
j=1
m
i=1 (5)
Where I and I′ are the pixel values at location (i, j) of the
original and the distorted frame respectively. Higher values of
PSNR indicate more imperceptibility of watermarking. It is
expressed in decibels (dB).
NC: The normalized coefficient (NC) gives a measure of the
robustness of watermarking and its peak value is 1.
Watermarked
Video
Convert RGB
to YUV
DWT
Watermark
Extraction
Process
Extracted
watermark
Original
video
frame

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NC =
W i,j .W′ (i,j)ji
W i,j W′ (i,j)jiji
(6)
Where W and W′ represent the original and extracted
watermark respectively.
Fig-6: Original Video
Fig-7: Watermark Image
Fig-8: Watermarked Video
Fig-9: Video frame after rotation by 180 degrees
Fig-10: Video frame after resizing
Fig-11: Video frame after gamma correction
(Variance 2.2)
Table-1: Values of PSNR and NC when frame is subjected to
different attacks.
Attack PSNR NC
ROTATION 28.8 0.607
RESIZING 39.46 0.6508
GAMMA
CORRECTION
24.079 0.5931
CONCLUSIONS
Here implementation of digital video watermarking scheme
based on DWT is proposed. Due to multiresolution
characteristics of DWT this scheme is robust against several
attacks. Software model is design by using
MATLAB/Simulink. There is no noticeable difference
between the watermarked video frames and the original
frames. As a futurework this simulink model can be interface
with FPGA by using Xilinx system generator block.
REFERENCES
[1] Nisreen I. Yassin, Nan cy M. Salem, and Mohamed I. El
Adawy “Block Based Video Watermarking Scheme
Using Wavelet Transform and Principle Component
Analysis”IJCSI International Journal of Computer
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[2] HananeH.Mirza, HienD.Thai, Yasunori Nagata and
ZenshoNakao” Digital Video Watermarking Based on
Principal Component Analysis” in Department of
Electrical and Electronics Engineering, University of the
Ryukyus Okinawa 9030213,Japan, 2011.

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[3] SanjanaSinha, PrajnatBardhan, SwarnaliPramanick,
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[4] Snehal V. Patel, Prof. Arvind R. Yadav "Invisible
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